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hightail | automatic tester for programming contests | Learning library

 by   dj3500 Java Version: v0.9.7 License: MIT

 by   dj3500 Java Version: v0.9.7 License: MIT

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kandi X-RAY | hightail Summary

hightail is a Java library typically used in Tutorial, Learning applications. hightail has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However hightail build file is not available. You can download it from GitHub.
Hightail is an automatic tester for programming contests such as CodeForces rounds. It will parse the problem statement, extract sample test cases (inputs and outputs) from it, and verify the correctness of your program against them. It is built to provide maximum automation and to relieve the contestant as much as possible.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • hightail has a low active ecosystem.
  • It has 270 star(s) with 148 fork(s). There are 17 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 46 open issues and 49 have been closed. On average issues are closed in 303 days. There are 2 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of hightail is v0.9.7
hightail Support
Best in #Learning
Average in #Learning
hightail Support
Best in #Learning
Average in #Learning

quality kandi Quality

  • hightail has 0 bugs and 0 code smells.
hightail Quality
Best in #Learning
Average in #Learning
hightail Quality
Best in #Learning
Average in #Learning

securitySecurity

  • hightail has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • hightail code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
hightail Security
Best in #Learning
Average in #Learning
hightail Security
Best in #Learning
Average in #Learning

license License

  • hightail is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
hightail License
Best in #Learning
Average in #Learning
hightail License
Best in #Learning
Average in #Learning

buildReuse

  • hightail releases are available to install and integrate.
  • hightail has no build file. You will be need to create the build yourself to build the component from source.
  • Installation instructions are available. Examples and code snippets are not available.
  • hightail saves you 2690 person hours of effort in developing the same functionality from scratch.
  • It has 5831 lines of code, 296 functions and 51 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
hightail Reuse
Best in #Learning
Average in #Learning
hightail Reuse
Best in #Learning
Average in #Learning
Top functions reviewed by kandi - BETA

kandi has reviewed hightail and discovered the below as its top functions. This is intended to give you an instant insight into hightail implemented functionality, and help decide if they suit your requirements.

  • Initialize the components .
  • Extracts the inputs and outputs them from the given filter .
  • Computes the difference of two outputs .
  • Display the test tests .
  • Adds the popup menu to the tabbed pane .
  • Get the renderer component .
  • Convert a JSON object to a problem
  • Parse the URL of a problem
  • Start parsing .
  • Add shortcuts to the dialog s shortcuts .

hightail Key Features

parsing problem statements

parsing entire contests (autoloading all problems)

scheduling contest parsing ahead of time

ability to comfortably view, edit and add test cases

handling of all verdicts: WA, TLE, RE, even AC

customizable time limits

ability to create in/out files in your working directory

detection of floating point values (comparing 0.1 vs. 0.10 does not give WA)

easy-to-use UI, keyboard shortcuts

resilient: it is multi-threaded so it will not let your program hang it; it will withstand large amounts of output from your program

support for all contest languages (C++, Java, Python, ...)

written in Java and should run on any OS

CodeForces (incl. Gym)

CodeChef (experimental)

AtCoder (now also live-running contests!)

Jutge.org

Open Kattis

Count number of occurrences of a string in a cell range matching column and row headers

copy iconCopydownload iconDownload
=SUM(($B$3:$L$12=$O2)*($B$1:$L$1=$P$1)*($A$3:$A$12=$N$2))
-----------------------
=SUMPRODUCT(($N$2=$A$3:$A$12)*($O2=$B$3:$L$12)*(P$1=$B$1:$L$1))

Can I fit a spectrum of multiple gaussians whos centroids and peak heights are randomly distributed?

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import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit

#Get data from file
with open('test3.txt') as f:
    w, h = [float(x) for x in next(f).split()]
    array = [[float(x) for x in line.split()] for line in f]

#Separate    
x, z = zip(*array)
x = np.array(x)
y = np.array([ -p for p in z])
#Change sign since fitting routine seems to
#prefer positive numbers


def func(x, *params):
    y = np.zeros_like(x)
    for i in range(0, len(params), 3):
        ctr = params[i]
        amp = params[i+1]
        wid = params[i+2]
        y = y + amp * np.exp( -((x - ctr)/wid)**2)
    return y

#Guess the peak positions, heights, and widths
# guess = [16, 5, 2, 75, 5, 2, 105, 5, 2, 139, 5, 2, 225, 5, 2, 315, 5, 2, 330, 5, 2]

def getPeaks(x, y, multiplier):
    x_peaks = []
    isPeak = False
    for i, j in zip(x, y):
        if j > y.mean() * multiplier:
            if not isPeak:
                isPeak = True
                x_peaks.append(i)
        else:
            isPeak = False
    return x_peaks

multiplier = 3
x_peaks = getPeaks(x, y, multiplier)

guess = []
for i in range(len(x_peaks)):
    guess.append(x_peaks[i])
    guess.append(5)
    guess.append(2)
    

#Fit and print parameters to screen
popt, pcov = curve_fit(func, x, y, p0=guess)
print(popt)
fit = func(x, *popt)

#Plot stuff
plt.plot(x, y)
plt.plot(x, fit , 'r--')
# plt.plot(popt[::3], np.ones_like(popt[::3]) * multiplier, 'ko')
plt.show()

How can I integrate plt.subplots to my code?

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import pandas as pd
import numpy as np
from scipy import stats
import matplotlib.pyplot as plt

# df = pd.read_csv(r"/Users/aaronhuang/Desktop/ffp/exfileCLEAN2.csv", skiprows=[1])
df = pd.read_csv(r"./exfileCLEAN2.csv", skiprows=[1])
magnitudes = df['Magnitude '].values
times = df['Time '].values
zscores = np.abs(stats.zscore(magnitudes, ddof=1))
outlier_indicies = np.argwhere(zscores > 3).flatten()
numbers = print(times[outlier_indicies])

import matplotlib.pyplot as plt
fig, axes = plt.subplots(6, 10, figsize=(30,30))

for i in range(6):
    for j in range(10):
        x = df.iloc[j*10:(j+1)*10,:]
        axes[i][j].plot(x['Time '], x['Magnitude '])
        axes[i][j].set_xticklabels(x['Time '], rotation=45)

window = 2
num = 1
x = times[outlier_indicies[num] - window:outlier_indicies[num]+window+1]
y = magnitudes[outlier_indicies[num] - window:outlier_indicies[num]+window+1]


plt.plot(x, y)
plt.xlabel('Time (units)')
plt.ylabel('Magnitude (units)')
plt.show()
fig = plt.figure()

Printing more than one graph at a time

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import pandas as pd
import numpy as np
import random
times = pd.date_range('2000-01-01', freq='1d', periods=6000)
mag = np.random.randint(0,20, (6000,))
df = pd.DataFrame({'Time':times, 'Magnitude':mag})

import matplotlib.pyplot as plt
fig, axes = plt.subplots(6, 10, figsize=(30,30))

for i in range(6):
    for j in range(10):
        x = df.iloc[j*10:(j+1)*10,:]
        axes[i][j].plot(x['Time'], x['Magnitude'])
        axes[i][j].set_xticklabels(x['Time'].dt.date, rotation=45)

Community Discussions

Trending Discussions on hightail
  • Count number of occurrences of a string in a cell range matching column and row headers
  • Can I fit a spectrum of multiple gaussians whos centroids and peak heights are randomly distributed?
  • How can I integrate plt.subplots to my code?
  • Printing more than one graph at a time
Trending Discussions on hightail

QUESTION

Count number of occurrences of a string in a cell range matching column and row headers

Asked 2022-Jan-30 at 11:56

I have the following two tables in MS Excel.

enter image description here

I want to count the number of occurrences of 'AB' in the rows of 'Adam' and in the columns of 'Feb' and place in P2 cell.

Index and Match commands used as follows returns 'AC'. What is the best way to solve this?

=INDEX($B$3:$L$12,MATCH($N$2,$A$3:$A$12,1),MATCH($P$1,$B$1:$L$1,1))

Here is the file.

ANSWER

Answered 2022-Jan-30 at 10:05

Try

=SUM(($B$3:$L$12=$O2)*($B$1:$L$1=$P$1)*($A$3:$A$12=$N$2))

may need array-entering pre Excel 365.

enter image description here

Source https://stackoverflow.com/questions/70912918

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install hightail

Hightail is developed in NetBeans (the UI in particular) and it is highly advisable to use it. It is better to use branches for different features, and read up on Git in general, but the above should be enough to get you started.
Download and install NetBeans (also JDK if you don't have it; there's a bundled version available). I have used NetBeans 8.0 (and Windows) for this tutorial.
While it's installing, sign up on Github if you don't have an account. Go to https://github.com/dj3500/hightail and fork the repository (using the Fork button).
Fire up NetBeans and select Team -> Git -> Clone; Repository URL: https://github.com/YOURUSERNAME/hightail.git/, also enter your Github username and password and select Save password; Next, Next, Finish.
If it says "Hightail project was cloned. Do you want to open the project?", select Open Project. If it doesn't, or says something else (like prompting you to "Create a project"), cancel and open the imported project yourself (File -> Open Project).
Change stuff, test, build, run, etc.
Once you have a working change: Team -> Commit, enter a commit description, Commit. Keep in mind that with Git, commits are only local. You can continue to make new commits. When you want to push your tree (of commits) to Github, select Team -> Remote -> Push To Upstream. The changes will be now publicly visible in your GitHub repository.
When you want to submit your changes to dj3500 for testing and review (please do test them thoroughly beforehand, though), create a pull request (from the web interface at https://github.com/YOURUSERNAME/hightail). The pull request model is documented at https://help.github.com/articles/using-pull-requests.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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